Prospective search
Prospective search, or persistent search, is a method of searching which determines which of a set of queries matches content in a corpos.
This differs from traditional, or "retrospective", search such as search engines, where the information for the results is acquired and then queried.[1]
Comparison to retrospective search[]
Retrospective search starts by gathering the information, indexing it, then letting users query the information. The results don't change until the index is rebuilt. Prospective search starts with the user's queries, gathers the information in a targeted way, indexing it and then providing the results as they arrive. Sometimes Ping Servers are used to gather notification of changes to websites so that the information received is as fresh as possible. Users can be notified in a number of ways of new results.
One implementation of prospective search is as saved searches which are re-run when new content is acquired.
Prospective search is well suited to queries where the results change over time, such as the current news, blogs and trends.
See also[]
- PubSub
- Google Alerts
- Google AppEngine Prospective Search Service[2] (deprecated as of December 1, 2015[3])
- Selective dissemination of information
- Superfeedr ('tracker' API[4])
References[]
- ^ Bob Wyman (2005). "Blogs & Prospective Search Technology for Corporate Reputation Management". Global PR Blog Week website.
- ^ "Feature deprecations | App Engine Documentation".
- ^ "Feature deprecations | App Engine Documentation".
- ^ "Full Text Trackers".
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